US 11,869,060 B2
Automated and customized entitlement recommendation
Parminder Singh Sethi, Ludhiana (IN); Sathish Kumar Bikumala, Round Rock, TX (US); and Deepak Gowda, Cary, NC (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jun. 30, 2020, as Appl. No. 16/917,175.
Prior Publication US 2021/0406976 A1, Dec. 30, 2021
Int. Cl. G06Q 30/0601 (2023.01); G06Q 10/20 (2023.01); G06N 3/08 (2023.01); G06F 40/30 (2020.01)
CPC G06Q 30/0631 (2013.01) [G06N 3/08 (2013.01); G06Q 10/20 (2013.01); G06F 40/30 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving a support request from a user corresponding to one or more assets;
generating a service ticket corresponding to the support request;
updating service ticket data in one or more databases in real-time responsive to the generation of the service ticket;
triggering automated extraction of data for the one or more assets responsive to the generation of the service ticket, wherein the data corresponds to the user and includes the service ticket data;
extracting the data for the one or more assets, wherein at least a portion of the data is extracted from at least one of the one or more databases and from the one or more assets via one or more backend application programming interfaces of an enterprise;
wherein the data comprises a plurality of data categories corresponding to performance data, current and past service ticket information and entitlement plan data for the one or more assets, and wherein at least a portion of the data comprises real-time changes to one or more of the plurality of data categories;
converting the data for processing by one or more machine learning models, wherein the converting comprises transforming the plurality of data categories into vector form;
analyzing the data using the one or more machine learning models, wherein the analyzing comprises predicting whether the one or more assets will require at least one of replacement and service;
wherein the predicting comprises using the one or more machine learning models to determine at least one of: (i) a remaining life of the one or more assets; and (ii) a time period in which the one or more assets will require service;
reading an output of the one or more machine learning models to generate one or more entitlement recommendations for the user based on the analysis, wherein the one or more entitlement recommendations comprise a first cost for at least one of replacement and service of the one or more assets under a current entitlement plan for the user, and a second cost for the at least one of the replacement and the service of the one or more assets under a new entitlement plan; and
transmitting, in response to the support request, the one or more entitlement recommendations to the user, wherein at least a portion of the one or more entitlement recommendations is generated in a textual format readable by the user on a user device;
wherein the steps of the method are executed by a processing device operatively coupled to a memory.